SeNic: An Open Source Dataset for sEMG-Based Gesture Recognition in Non-Ideal Conditions
In order to reduce the gap between the laboratory environment and actual use in daily life of human-machine interaction based on surface electromyogram (sEMG) intent recognition, this paper presents a benchmark dataset of sEMG in non-ideal conditions (<italic>SeNic</italic>). The dataset...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
IEEE,
2022-01-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |